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2
A commentary on "6th year medical students' future specialty preferences: A cross-sectional study".对《六年制医学生未来专业偏好:一项横断面研究》的评论
Ann Med Surg (Lond). 2021 Jul 26;68:102612. doi: 10.1016/j.amsu.2021.102612. eCollection 2021 Aug.
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A step-by-step guide to creating an academic surgery interest group: Review article.创建学术外科兴趣小组的分步指南:综述文章
Ann Med Surg (Lond). 2021 Aug 5;69:102688. doi: 10.1016/j.amsu.2021.102688. eCollection 2021 Sep.
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Research career in neurosurgery: a challenge for future neurosurgeons.神经外科的研究生涯:对未来神经外科医生的一项挑战。
J Neurosurg Sci. 2022 Feb;66(1):72. doi: 10.23736/S0390-5616.21.05426-6. Epub 2021 Aug 3.
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Evidence-based medicine in neurosurgery: why and how?神经外科学中的循证医学:为何及如何?
J Neurosurg Sci. 2022 Feb;66(1):49-53. doi: 10.23736/S0390-5616.21.05331-5. Epub 2021 Aug 3.
6
Medical interest groups and work policies as emerging determinants of a successful career: A student perspective - Correspondence.医学利益集团与工作政策作为成功职业的新兴决定因素:学生视角——通信
Int J Surg. 2021 Aug;92:106020. doi: 10.1016/j.ijsu.2021.106020. Epub 2021 Jul 9.
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A commentary on "author level metrics and academic productivity" (int J surg 2021; 90:105,965).对《“作者层面指标与学术生产力”》(《国际外科学杂志》2021年;90:105965)的评论
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科学出版物中医学证据使用实用指南:给医学生的建议:叙述性综述

Practical guide for the use of medical evidence in scientific publication: Recommendations for the medical student: Narrative review.

作者信息

Lozada-Martínez Ivan David, Acevedo-Aguilar Laura Marcela, Mass-Hernández Laura Marcela, Matta-Rodríguez Duván, Jiménez-Filigrana Jhoyner Alberto, Garzón-Gutiérrez Karen Elizabeth, Barahona-Botache Sergio Antonio, Vásquez-Castañeda Danna Lianeth, Caicedo-Giraldo Sharon Del Rosario, Rahman Sabrina

机构信息

Medical and Surgical Research Center, School of Medicine, University of Cartagena, Cartagena, Colombia.

School of Medicine, Universidad de Ciencias Aplicadas y Ambientales, Bogotá, Colombia.

出版信息

Ann Med Surg (Lond). 2021 Oct 9;71:102932. doi: 10.1016/j.amsu.2021.102932. eCollection 2021 Nov.

DOI:10.1016/j.amsu.2021.102932
PMID:34659747
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8503847/
Abstract

Currently, the adaptation of scientific evidence in clinical problem solving is based on the evidence-based medicine method. Medical students and health professionals should have an adequate knowledge of this method and thus provide adequate health care and increasingly provide high quality scientific publications that can be subsequently integrated in different clinical scenarios. Several scales and tools have been proposed as guides to recognize the different levels of quality of the available evidence, their degrees of recommendation and the biases and fallacies that may occur both in the clinical and research areas, with the aim of identifying the best available evidence. However, few students and professionals are aware of them and make proper use of them. Therefore, it is necessary to synthesize these tools in an understandable and practical way.

摘要

目前,临床问题解决中科学证据的应用基于循证医学方法。医学生和卫生专业人员应充分了解此方法,从而提供充分的医疗保健,并越来越多地提供高质量的科学出版物,这些出版物随后可整合到不同的临床场景中。已经提出了几种量表和工具作为指南,以识别现有证据的不同质量水平、推荐程度以及临床和研究领域可能出现的偏差和谬误,目的是确定最佳可用证据。然而,很少有学生和专业人员了解并正确使用它们。因此,有必要以一种易懂且实用的方式综合这些工具。